chore: import upstream snapshot with attribution

paddle/phi/kernels/fusion/cpu/fused_seqpool_cvm_kernel.cc

@@ -0,0 +1,44 @@
+// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/fused_seqpool_cvm_kernel.h"
+#include <memory>
+#include <vector>
+
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void FusedSeqpoolCVMOpCPUKernel(const Context &dev_ctx,
+                                const std::vector<const DenseTensor *> &x,
+                                const DenseTensor &cvm,
+                                const std::string &pooltype,
+                                float pad_value,
+                                bool use_cvm,
+                                int cvm_offset,
+                                std::vector<DenseTensor *> out) {
+  PADDLE_THROW(common::errors::Unimplemented(
+      "Unimplemented CPU kernel for FusedSeqpoolCVMOp, only support GPU "
+      "now."));
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(fused_seqpool_cvm,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FusedSeqpoolCVMOpCPUKernel,
+                   float) {}